22 citations · 25 across the 4 of their papers we have counts for
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cs.CV2026
GaLe: memory-efficient Global Approximate and Local Exact features
Alberto Ancilotto, Elisabetta Farella
Embedded devices typically lack the resources of GPU-equipped machines, and existing inference methods suffer from either high computational overhead (patch-based) or accuracy loss…
cs.NE2026
Elastic Spiking Transformers for Efficient Gesture Understanding
Alberto Ancilotto, Gianluca Amprimo, Stefano Di Carlo +1
Spiking Neural Networks (SNNs), particularly Spiking Transformers, offer energy-efficient processing of event-based sensor data for healthcare applications. Yet current architectur…